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Record W2074192077 · doi:10.1080/10238160802399563

Neutron diffraction characterisation of thermomechanical behaviour of Fe–Mn–Si shape memory alloy

2007· article· en· W2074192077 on OpenAlexaff
E.C. Oliver, T. Mori, Mark R. Daymond, Philip J. Withers

Bibliographic record

VenueJournal of Neutron Research · 2007
Typearticle
Languageen
FieldMaterials Science
TopicShape Memory Alloy Transformations
Canadian institutionsQueen's University
FundersEngineering and Physical Sciences Research Council
KeywordsMaterials scienceNeutron diffractionAlloyDiffractionThermomechanical processingCrystallographyShape-memory alloyMetallurgyOpticsChemistryPhysics

Abstract

fetched live from OpenAlex

Time-of-flight neutron diffraction profiles were recorded in situ during uniaxial tensile loading and subsequent annealing of an Fe–Mn–Si shape memory alloy. Results are presented on the evolution of phase textures and internal strains. Stress-induced phase transformation occurred preferentially in austenite grains having a 〈110〉 direction aligned axially, and resulted in the formation of ϵ martensite with a {101} fibre texture. These results and the evolution of internal strains are rationalised by consideration of the Schmid factor for the motion of Shockley partial dislocations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.077
GPT teacher head0.375
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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